926 to 950 of 4,294 Machine Learning Jobs in the UK

millions of data points per second from LSE, Bloomberg, and alternative data sources Autonomous AI Agents: Build intelligent agents for trading, compliance, research, and risk management Predictive Analytics: Develop ML models for earnings prediction, M&A identification, and market regime detection Technical Infrastructure Cloud-Native Architecture: Multi-region deployment (London/Dublin/Frankfurt) with auto-scaling Real-time Data … Integrations: Bloomberg Terminal, Refinitiv, prime brokerage APIs, and regulatory systems Advanced Security: Zero-trust architecture, FCA compliance, and financial-grade security protocols Technical Stack You'll Lead AI/ML: TensorFlow, PyTorch, MLflow, NVIDIA Triton, custom financial LLMs Data: Kafka, Flink, Snowflake, ClickHouse, Neo4j, vector databases Backend: FastAPI, GraphQL, microservices, Docker, Kubernetes Frontend: React/Next.js, TypeScript, real-time dashboards … discriminate on age and experience Proven track record building and scaling B2B SaaS platforms to $50M+ ARR Financial services experience - trading systems, risk management, or regulatory compliance AI/ML expertise - LLMs, real-time ML systems, or quantitative finance applications Technical Expertise Deep knowledge of distributed systems, microservices, and cloud architecture Experience with real-time data processing and high-frequency More ❯

or product analytics with core focus in customer experience (if available) Build and evaluate Generative AI solutions and Large Language Models (LLMs) for various use cases. Develop and implement machine learning models, including predictive, forecasting, classification, and deep learning models. Experience in working with various data sets, including transactional/EPOS, digital, social, loyalty etc. Hands on … experience in using programming languages such as Python Knowledge of cloud platforms and tools for data science and machine learning. Utilise visualization tools such as Power BI or Tableau to present data insights … effectively. Collaborate with cross-functional teams to understand business challenges and create valuables products/solutions Proven project management experience, including planning, execution, and successful delivery of AI/ML POCs, MVPs and production grade solutions. People management skills, including mentoring, guiding, and developing team members. It Would Be a Bonus If You Have Experience in primary growth sectors; CPR More ❯

Design, build, and maintain robust data pipelines and cloud-based infrastructure to support large-scale data processing and analytics workloads. Collaborate with data scientists and AI engineers to productionise machine learning models and support intelligent automation solutions. Contribute to the development and enhancement of the enterprise data platform with scalable, high-quality data assets. Champion data engineering best … moving or regulated environments. Expertise in cloud data platforms and tooling (e.g., ELT/ETL frameworks, Azure, AWS, GCP). AWS is preferred Demonstrated experience in supporting AI and ML engineering workflows (e.g., integrating models, feature pipelines, operationalising ML solutions). Strong understanding of data engineering best practices, with a focus on usability, accessibility, and performance. Proficient in SQL and More ❯

Design, build, and maintain robust data pipelines and cloud-based infrastructure to support large-scale data processing and analytics workloads. Collaborate with data scientists and AI engineers to productionise machine learning models and support intelligent automation solutions. Contribute to the development and enhancement of the enterprise data platform with scalable, high-quality data assets. Champion data engineering best … moving or regulated environments. Expertise in cloud data platforms and tooling (e.g., ELT/ETL frameworks, Azure, AWS, GCP). AWS is preferred Demonstrated experience in supporting AI and ML engineering workflows (e.g., integrating models, feature pipelines, operationalising ML solutions). Strong understanding of data engineering best practices, with a focus on usability, accessibility, and performance. Proficient in SQL and More ❯

Design, build, and maintain robust data pipelines and cloud-based infrastructure to support large-scale data processing and analytics workloads. Collaborate with data scientists and AI engineers to productionise machine learning models and support intelligent automation solutions. Contribute to the development and enhancement of the enterprise data platform with scalable, high-quality data assets. Champion data engineering best … moving or regulated environments. Expertise in cloud data platforms and tooling (e.g., ELT/ETL frameworks, Azure, AWS, GCP). AWS is preferred Demonstrated experience in supporting AI and ML engineering workflows (e.g., integrating models, feature pipelines, operationalising ML solutions). Strong understanding of data engineering best practices, with a focus on usability, accessibility, and performance. Proficient in SQL and More ❯

methodology. Data Scientist tasks Build robust, containerised data science capabilities which are scalable across projects and products (Docker, Kubernetes) Collaborate with technical teams to write production-ready code, ensuring ML and AI models are deployable for your clients and projects. Collaborate with software engineers to design and deploy machine learning services that are accessible via APIs for use … in GUIs or direct access. Research, analyse and apply data sets using a variety of statistical and machine learning techniques. Support the analytical needs of the technical team inclusive of cleansing, mapping, statistical inferences, feature engineering and the bespoke data visualisation methods required by each project. Review the execution of software solutions and how these perform for the More ❯

methodology. Data Scientist tasks Build robust, containerised data science capabilities which are scalable across projects and products (Docker, Kubernetes) Collaborate with technical teams to write production-ready code, ensuring ML and AI models are deployable for your clients and projects. Collaborate with software engineers to design and deploy machine learning services that are accessible via APIs for use … in GUIs or direct access. Research, analyse and apply data sets using a variety of statistical and machine learning techniques. Support the analytical needs of the technical team inclusive of cleansing, mapping, statistical inferences, feature engineering and the bespoke data visualisation methods required by each project. Review the execution of software solutions and how these perform for the More ❯

AI Engineer, Machine Learning Engineer, or a similar role. · Strong understanding of fundamental AI and machine learning concepts. · Hands-on experience with various AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face). · A demonstrable passion for and understanding of the latest advancements in generative AI for media, including models related to: o Video More ❯

flow and (c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills. Our solutions ensure that information in Amazon's catalog is complete … automation and are using latest technology like LLM to solve business problems. We believe in "Work Hard. Have Fun. Make History" value by having a strong focus on sharing learning experiences from the front line with the development teams. So, the options for people in the team are vast. If you like mastering a domain and going deep, we … general, your family, hobbies etc. We provide trainings to the employees through online learning platforms such as O'reilly and also encourage them to take up AWS/ML certifications. Key job responsibilities We are looking for an experienced Software developer with a diverse skillset and background. As a SDE-2, your work is consistently of high quality. You More ❯

the company’s data strategy and develop AI-driven features that elevate their platform. The Role You’ll lead on the full data lifecycle - from pipeline development to deploying machine learning models. Working closely with product and commercial teams, you’ll drive innovation … through LLMs and advanced analytics, while mentoring a small team and aligning data solutions with business growth. Key Responsibilities Build and optimise data pipelines and infrastructure Design and deploy ML models, including LLM-powered features Mentor junior data scientists and foster team development Align data science with product and business strategy Identify opportunities for automation and platform enhancements About You More ❯

the company’s data strategy and develop AI-driven features that elevate their platform. The Role You’ll lead on the full data lifecycle - from pipeline development to deploying machine learning models. Working closely with product and commercial teams, you’ll drive innovation … through LLMs and advanced analytics, while mentoring a small team and aligning data solutions with business growth. Key Responsibilities Build and optimise data pipelines and infrastructure Design and deploy ML models, including LLM-powered features Mentor junior data scientists and foster team development Align data science with product and business strategy Identify opportunities for automation and platform enhancements About You More ❯

the company’s data strategy and develop AI-driven features that elevate their platform. The Role You’ll lead on the full data lifecycle - from pipeline development to deploying machine learning models. Working closely with product and commercial teams, you’ll drive innovation … through LLMs and advanced analytics, while mentoring a small team and aligning data solutions with business growth. Key Responsibilities Build and optimise data pipelines and infrastructure Design and deploy ML models, including LLM-powered features Mentor junior data scientists and foster team development Align data science with product and business strategy Identify opportunities for automation and platform enhancements About You More ❯

for a brilliant senior developer who wants an exciting and challenging role with Kortical, that is on a mission to help every company become an AI company via our ML SaaS platform. Primary skills we consider: Python Secondary skills we consider: Kubernetes, Microservices, Docker, GCP, Maths, Machine Learning Employment type: Permanent Remote working: Flexible remote (up to … for a brilliant senior developer who wants an exciting and challenging role with Kortical, that is on a mission to help every company become an AI company via our ML SaaS platform. We are a python shop so proficiency is ideal but languages are easy to learn if you know how to code, so don't worry if you're … our ways of working. About Kortical Just as every company is now a tech company, they will also have to be an AI company to survive. Currently 85% of ML projects fail and we are on a mission to turn that statistic upside down! Google, AWS, Azure are all essentially a box of tools, and you need a strong multi More ❯

the teams building the foundational data platform for one of the UK’s best known ecommerce companies. You’ll help scale data infrastructure that powers real-time decision-making, machine learning, experimentation, and analytics - supporting millions of users. 📍 Location: London surrounds (once a week in office ideally) 💰 Salary: £150k+ pro … rata What you’ll do Manage and mentor two data infrastructure squads, covering batch and real-time pipelines, data observability, and governance Collaborate with Product, Engineering, Data Science and ML teams to align platform capabilities with business needs Define and own the roadmap for scalable, privacy-aware, and resilient data systems Promote engineering best practices and long-term system sustainability More ❯

the teams building the foundational data platform for one of the UK’s best known ecommerce companies. You’ll help scale data infrastructure that powers real-time decision-making, machine learning, experimentation, and analytics - supporting millions of users. 📍 Location: London surrounds (once a week in office ideally) 💰 Salary: £150k+ pro … rata What you’ll do Manage and mentor two data infrastructure squads, covering batch and real-time pipelines, data observability, and governance Collaborate with Product, Engineering, Data Science and ML teams to align platform capabilities with business needs Define and own the roadmap for scalable, privacy-aware, and resilient data systems Promote engineering best practices and long-term system sustainability More ❯

Job ID: Amazon Development Center (Tel Aviv) Are you a scientist interested in pushing the state of the art in machine learning and recommendation systems? Are you interested in working on novel ideas that can positively impact millions of customers? Do you wish you had access to large datasets and tremendous computational resources? Answer yes to any of … will be a great fit for our team at Amazon. Our team is part of Amazon's Personalization organization, a high-performing group that leverages Amazon's expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers. Our team builds large-scale machine-learning solutions … explanation. As a Senior Applied Scientist in our team, you will lead the research, design, and development of new AI technologies for personalization. You will adopt or invent new machine learning and analytical techniques in the realm of recommendations and large language models. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will More ❯

communication skills, both written and verbal, with ability to manage multiple stakeholders (beneficial) Understanding financial markets, risk (for example Know Your Client), anomaly detection/Machine Learning (ML), project management How we'll support you Flexible working to assist you balance your personal priorities Coaching and support from experts in your team A culture of continuous learning … to providing a working environment free from harassment, discrimination and retaliation. Visit Inside Deutsche Bank to discover more about the culture of Deutsche Bank including Diversity, Equity & Inclusion, Leadership, Learning, Future of Work and more besides. More ❯

Senior Software Engineer Magnify brings the power of the latest AI, ML, and large-scale data architectures to transform the customer experience in software. Software Engineers at Magnify will develop microservices, machine learning services, data handling, communication and integration components that enable Magnify’s post-sales orchestration platform. This is a remarkable opportunity for someone with back-end More ❯

and helping them achieve successful outcomes You love working with people who have a high bar for quality of code and quality of user experience You are passionate about learning and development You thrive in an environment that emphasizes constant learning, challenging assumptions, and providing high customer value You are energized by being a part of a small … you to apply. Technologies we use Languages: TypeScript, JavaScript, Java, Python, Node.js Front end: React, React Router, Redux Cloud Platform: Google, AWS AI/Machine Learning: Gemini, ML Engine Mobile platforms: Xcode, Android Studio, Appium Data Analysis: BigQuery, DataFlow, Spanner Compute: Container Engine, Cloud Functions, App Engine, Cloud Run Source Control : GitHub Continuous Integration: GitHub Actions Working at More ❯

Quantitative Researcher - Machine Learning A fully automated algorithmic trading company in London have ambitious plans to grow their machine learning research team. All their researchers have an impressive academic background in mathematics, statistics … and physics and have published numerous academic articles in their respective fields. They enjoy a healthy work-life balance while tackling hard problems in quantitative finance using AI and ML techniques. As a Quantitative Researcher, you will work with a fantastic team of data scientists and engineers on a wide scope of ML responsibilities to tackle hard problems in quantitative … finance: Build machine learning trading strategies across a range of asset classes Design predictive models with scientific rigor Explore new projects in neural networks and deep learning Oversee projects focused on finding trading product solutions Requirements for the Quantitative Researcher - Machine Learning position: PhD in a technical or quantitative discipline such as statistics, mathematics, physics More ❯

Quantitative Researcher - Machine Learning A fully automated algorithmic trading company in London have ambitious plans to grow their machine learning research team. All their researchers have an impressive academic background in mathematics, statistics … and physics and have published numerous academic articles in their respective fields. They enjoy a healthy work-life balance while tackling hard problems in quantitative finance using AI and ML techniques. As a Quantitative Researcher, you will work with a fantastic team of data scientists and engineers on a wide scope of ML responsibilities to tackle hard problems in quantitative … finance: Build machine learning trading strategies across a range of asset classes Design predictive models with scientific rigor Explore new projects in neural networks and deep learning Oversee projects focused on finding trading product solutions Requirements for the Quantitative Researcher - Machine Learning position: PhD in a technical or quantitative discipline such as statistics, mathematics, physics More ❯

with CI/CD pipelines. Automation & Scripting: Experience writing scripts in languages such as Bash, Python to automate tasks and streamline operations. Nice to have: Familiarity with AI/ML-driven build automation tools that leverage machine learning algorithms to optimize and predict release pipeline cycles, enhancing efficiency and accuracy across the CI/CD process. Experience with More ❯

to fuel client growth. As part of their Marketing Sciences Data Science Team, you’ll play a pivotal role in revolutionising marketing strategies through cutting-edge Data Science and Machine Learning solutions. This is still a largely hands on role, with around 20% team leadership. What You’ll Do Oversee data science projects, guide junior team members, and … drive innovation. Build predictive models for campaign optimisation, customer segmentation, and price elasticity. Design and implement AI-powered solutions to solve complex marketing challenges. Use machine learning and statistical techniques to analyse trends and improve business outcomes. Work with cross-functional teams and present insights to technical and non-technical stakeholders. What We’re Looking For A strong … academic background in Computer Science, Mathematics, Physics, or a related field. Proven experience in machine learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong More ❯

to fuel client growth. As part of their Marketing Sciences Data Science Team, you’ll play a pivotal role in revolutionising marketing strategies through cutting-edge Data Science and Machine Learning solutions. This is still a largely hands on role, with around 20% team leadership. What You’ll Do Oversee data science projects, guide junior team members, and … drive innovation. Build predictive models for campaign optimisation, customer segmentation, and price elasticity. Design and implement AI-powered solutions to solve complex marketing challenges. Use machine learning and statistical techniques to analyse trends and improve business outcomes. Work with cross-functional teams and present insights to technical and non-technical stakeholders. What We’re Looking For A strong … academic background in Computer Science, Mathematics, Physics, or a related field. Proven experience in machine learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong More ❯

to fuel client growth. As part of their Marketing Sciences Data Science Team, you’ll play a pivotal role in revolutionising marketing strategies through cutting-edge Data Science and Machine Learning solutions. This is still a largely hands on role, with around 20% team leadership. What You’ll Do Oversee data science projects, guide junior team members, and … drive innovation. Build predictive models for campaign optimisation, customer segmentation, and price elasticity. Design and implement AI-powered solutions to solve complex marketing challenges. Use machine learning and statistical techniques to analyse trends and improve business outcomes. Work with cross-functional teams and present insights to technical and non-technical stakeholders. What We’re Looking For A strong … academic background in Computer Science, Mathematics, Physics, or a related field. Proven experience in machine learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong More ❯